Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1079407 |
Resumo: | The development of efficient and low-cost genotyping methods is essential to precise genetic characterization of cultivars. Here, we present a system based on fluorescently labeled universal tail sequence primers (UTSP) to resolve microsatellite (SSR) markers as an alternative for molecular fingerprinting of maize. A set of 20 SSRs using the UTSP presented an average polymorphic information content of 0.84, which provided a probability of random identity ranging from 10−7 to 10−14, and a minimum exclusion power of 99.99998 % in a group of 48 tropical maize single-cross hybrids traded in Brazil. The genetic diversity analysis based on multidimensional scaling explained approximately 28 % of the total variance for the first two coordinates, tending to group the hybrids according to their respective origin. Additionally, this genotyping system presented a high distinctiveness capacity, which is widely recommended for genetic purity and fingerprinting analyses. Thus, this marker system has a strong potential as a tool for complementary analysis of distinguishability, uniformity and stability required for cultivar registration. |
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Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids.GenotipagemCaracterização genéticaZea maysVariedadeThe development of efficient and low-cost genotyping methods is essential to precise genetic characterization of cultivars. Here, we present a system based on fluorescently labeled universal tail sequence primers (UTSP) to resolve microsatellite (SSR) markers as an alternative for molecular fingerprinting of maize. A set of 20 SSRs using the UTSP presented an average polymorphic information content of 0.84, which provided a probability of random identity ranging from 10−7 to 10−14, and a minimum exclusion power of 99.99998 % in a group of 48 tropical maize single-cross hybrids traded in Brazil. The genetic diversity analysis based on multidimensional scaling explained approximately 28 % of the total variance for the first two coordinates, tending to group the hybrids according to their respective origin. Additionally, this genotyping system presented a high distinctiveness capacity, which is widely recommended for genetic purity and fingerprinting analyses. Thus, this marker system has a strong potential as a tool for complementary analysis of distinguishability, uniformity and stability required for cultivar registration.Carlos Alexandre Gomes Ribeiro, Universidade Federal de Viçosa; MARCOS DE OLIVEIRA PINTO, CNPMS; Talles Eduardo Ferreira Maciel, Universidade Federal de Viçosa; MARIA MARTA PASTINA, CNPMS; Everaldo Gonçalves de Barros, Universidade Católica de Brasília; CLAUDIA TEIXEIRA GUIMARAES, CNPMS.RIBEIRO, C. A. G.PINTO, M. de O.MACIEL, T. E. F.PASTINA, M. M.GOMES, E. G. deGUIMARAES, C. T.2017-11-10T23:21:31Z2017-11-10T23:21:31Z2017-11-1020172017-11-10T23:21:31Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleScientia Agricola, Piracicaba, v. 74, n. 2, p. 163-168, 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/107940710.1590/1678-992x-2016-0079enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-11-10T23:21:38Zoai:www.alice.cnptia.embrapa.br:doc/1079407Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-11-10T23:21:38falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-11-10T23:21:38Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids. |
title |
Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids. |
spellingShingle |
Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids. RIBEIRO, C. A. G. Genotipagem Caracterização genética Zea mays Variedade |
title_short |
Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids. |
title_full |
Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids. |
title_fullStr |
Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids. |
title_full_unstemmed |
Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids. |
title_sort |
Universal tail sequence-SSR applied to molecular characterization of tropical maize hybrids. |
author |
RIBEIRO, C. A. G. |
author_facet |
RIBEIRO, C. A. G. PINTO, M. de O. MACIEL, T. E. F. PASTINA, M. M. GOMES, E. G. de GUIMARAES, C. T. |
author_role |
author |
author2 |
PINTO, M. de O. MACIEL, T. E. F. PASTINA, M. M. GOMES, E. G. de GUIMARAES, C. T. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Carlos Alexandre Gomes Ribeiro, Universidade Federal de Viçosa; MARCOS DE OLIVEIRA PINTO, CNPMS; Talles Eduardo Ferreira Maciel, Universidade Federal de Viçosa; MARIA MARTA PASTINA, CNPMS; Everaldo Gonçalves de Barros, Universidade Católica de Brasília; CLAUDIA TEIXEIRA GUIMARAES, CNPMS. |
dc.contributor.author.fl_str_mv |
RIBEIRO, C. A. G. PINTO, M. de O. MACIEL, T. E. F. PASTINA, M. M. GOMES, E. G. de GUIMARAES, C. T. |
dc.subject.por.fl_str_mv |
Genotipagem Caracterização genética Zea mays Variedade |
topic |
Genotipagem Caracterização genética Zea mays Variedade |
description |
The development of efficient and low-cost genotyping methods is essential to precise genetic characterization of cultivars. Here, we present a system based on fluorescently labeled universal tail sequence primers (UTSP) to resolve microsatellite (SSR) markers as an alternative for molecular fingerprinting of maize. A set of 20 SSRs using the UTSP presented an average polymorphic information content of 0.84, which provided a probability of random identity ranging from 10−7 to 10−14, and a minimum exclusion power of 99.99998 % in a group of 48 tropical maize single-cross hybrids traded in Brazil. The genetic diversity analysis based on multidimensional scaling explained approximately 28 % of the total variance for the first two coordinates, tending to group the hybrids according to their respective origin. Additionally, this genotyping system presented a high distinctiveness capacity, which is widely recommended for genetic purity and fingerprinting analyses. Thus, this marker system has a strong potential as a tool for complementary analysis of distinguishability, uniformity and stability required for cultivar registration. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11-10T23:21:31Z 2017-11-10T23:21:31Z 2017-11-10 2017 2017-11-10T23:21:31Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Scientia Agricola, Piracicaba, v. 74, n. 2, p. 163-168, 2017. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1079407 10.1590/1678-992x-2016-0079 |
identifier_str_mv |
Scientia Agricola, Piracicaba, v. 74, n. 2, p. 163-168, 2017. 10.1590/1678-992x-2016-0079 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1079407 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503444582629376 |